Staff Data Engineer - Data Analytics at Snagajob in Arlington, VA
What Snagajob Can Promise You When you join the Snagajob Engineering team, you'll be working on a high-volume, high-traffic site that gets over 50 million visits a month! But that's just the start of it. You get to contribute more than just code; we have a highly collaborative environment, so you'll influence what we build and how we build it. Expand your skills with our weekly tech talks. Learn about and experiment with new technologies/ideas in our monthly hack days and chapter meetings. Engineering at Snagajob isn't just about keeping the lights on and the site running. It's a place for you to learn and grow in a supportive team environment. What You'll Get to Do Partner with teams across Engineering, Product and business lines to design and implement high-impact, strategic solutions to analytic problems Create data architectures that support rapidly evolving real-time integrations and business analysis demands Develop, test and deploy data solutions supporting ingestion, ETL pipelines, visualization and extraction - with an eye on automation and platform improvements that scale Organize, coordinate and communicate major data initiatives and their success metrics to the broader Engineering and Product Management organizations Coach and mentor fellow engineers through data architecture, design, coding, testing and deployment lifecycles Be a champion of data management and security standards What You'll Bring Experience creating and supporting data warehouses, ETL pipelines, visualization and analysis Passion for making complex data solutions more legible, intuitive and usable Advanced SQL skills, comfortable tuning others' code for maximum performance, and proficient with complex stored procedures; particularly on Snowflake, Redshift or other large-scale database platforms Demonstrated use of agile software development practices and focus on engineering craftsmanship, quality and best practices Experienced designing, documenting and communicating complex data architectures and database requirements Proficient coordinating multiple stages of interdependent efforts and multiple work streams for a team of engineers Experienced designing, implementing and supporting data pipelines for BI visualizations and analytic projects:
structuring data models, defining measures and aggregates, designing dashboards Bonus Points Practical experience working on large scale software products Oversight of offshore engineering teams Experience with Atlassian product suite (Jira/Confluence) Familiar with Snowflake, MongoDB, Javascript, Python, Kafka
Salary Range:
$100K -- $200K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
structuring data models, defining measures and aggregates, designing dashboards Bonus Points Practical experience working on large scale software products Oversight of offshore engineering teams Experience with Atlassian product suite (Jira/Confluence) Familiar with Snowflake, MongoDB, Javascript, Python, Kafka
Salary Range:
$100K -- $200K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
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